Calculate your buildings energy savings

Retrofit Recommender

Optimize the potential of your building while minimizing exposure to carbon costs and stranding risks

Calculate your retrofit
  • Define potential
  • Save time
  • Increase value

Retrofit Recommender at a glance

The Retrofit Recommender is a machine-learning driven tool designed to assist property and asset managers in promptly identifying potential areas for capital improvements (retrofits) in buildings. With minimal input, the tool generates needed capex investments and potential energy savings, enabling users to evaluate options for increasing the property's overall value, extending its useful life, and improving energy and cost efficiency.

the Retrofit Recommender

A recommendation engine that takes into account a variety of building-specific variables including:

  • Construction year

  • Area measurement

  • Asset type (as per GRESB definitions)

  • Current energy consumption data (not available in our free online version, only via full online platform)

Our Machine Learning model, trained on hundreds of real retrofit datapoints and outcomes, generates top-line retrofit scenarios to help stakeholders make critical decisions to protect property values. The recommended measures align retrofit scenarios with unique portfolio objectives, whether related to a CapEx ceiling or a CO2 reduction floor.

Our tool's recommendations emphasize energy savings and heating source optimization (including heating oil, heat pumps, natural gas, and district heating) while suggesting potential enhancements to heating, cooling, ventilation, and lighting. It also examines sub-categories within the building's thermal envelope, such as the roof, façade, and windows.

Calculate your retrofitLight

Try the light version of the Retrofit Recommender below and understand the value BuildingMinds’ machine learning can bring to your portfolio through risk avoidance and better investment strategies for existing assets.

Make a choice

Select your building type

How it works

Based on your building information, the Retrofit Recommender calculates output estimations and our machine learning tool helps to test different scenarios, so that you can plan your next retrofit.


Enter your own parameters

such as Construction Year and Building Type


Get output estimations

or fix factors related to:

• Costs
• Retrofit areas with best return for carbon impact
• CO2 Reduction measures


Tailored outputs

Specify one or more output to generate estimates of the others.


ML-driven scenarios

Test the ML-driven scenarios with different variables.


Plan your next retrofit


Standard input

The model predicts retrofit actions, estimates energy savings and costs of the retrofit measures based on the building’s attributes (standard input):

  • building type (office, residential, etc.)

  • construction year

  • building area (in m2)

  • location (country, according to ISO-3166 ALPHA-2 code, e.g. DE)

  • primary heating source (optional)

  • heating and electricity consumption before retrofit (kWh/m2 per year).

Optimize your portfolio for efficiency and future readiness.

Book a meeting with one of our solutions experts and learn how Buildingminds can help you create sustainable value.